Computational grid is a pool of computational resources that is used by various organizations for storage purposes and execution of a large number of tasks. Load balancing and energy consumption are two core performance parameters in the computational grid. Since, performance of a computational grid is highly dependable to variations in load and energy consumption, therefore, it is important to pay attention to these aspects in grid. Therefore, we proposed an energy-aware dynamic load balancing strategy for tasks scheduling in grid referred to as dynamic energy efficient load balancing strategy (DEEL) for computational grid. DEEL combined energy efficiency and load balancing paradigms in order to improve the utilization and reduce the energy consumption of resources. Simulations were performed by using GridSim. Simulation results were compared with published strategy IEGDC with respect to performance indices: finished gridlets, unfinished gridlets, resubmitted times, and response time. The simulation results were evaluated through performance metrics that is, (a) cost, (b) energy consumption, and (c) energy saved. As per simulation results, DEEL outperformed the published method IEGDC by reducing the execution time of finished gridlets up to 28%, minimizing the execution and resource cost up to 35%, and saving the energy consumption up to 38%.

中文翻译：

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计算网格动态节能负载均衡策略

计算网格是各种组织用于存储和执行大量任务的计算资源池。负载均衡和能耗是计算网格中的两个核心性能参数。由于计算网格的性能高度依赖于负载和能耗的变化，因此，关注网格中的这些方面很重要。因此，我们提出了一种用于网格中任务调度的能量感知动态负载平衡策略，称为计算网格动态节能负载平衡策略（DEEL）。. DEEL 结合了能源效率和负载平衡范式，以提高资源利用率并降低能源消耗。使用 GridSim 进行模拟。模拟结果与已发布的策略 IEGDC 在性能指标方面进行了比较：完成的网格、未完成的网格、重新提交的时间和响应时间。模拟结果通过性能指标进行评估，即 (a) 成本、(b) 能耗和 (c) 节能。根据仿真结果，DEEL 的性能优于已发布的方法 IEGDC，将完成的网格的执行时间减少了 28%，将执行和资源成本最小化了 35%，并节省了 38% 的能源消耗。